Analytics & Monitoring Claudeスキル

Pyecharts Visualization & Reporting

Generates interactive HTML dashboards and professional data visualizations using pyecharts and Apache ECharts.

Debugging Methodology

Implements an evidence-based debugging protocol that prioritizes observability and systematic instrumentation over speculative fixes.

CamSnap RTSP Camera Tool

Captures snapshots, video clips, and motion events from RTSP and ONVIF-compliant IP cameras.

Database Observability

Instruments database queries and connection pools to identify performance bottlenecks and architectural anti-patterns.

Prompt Versioning & A/B Testing

Tracks LLM prompt versions and conducts A/B experiments to optimize agent performance, quality, and cost.

Core Web Vitals Optimizer

Measures and optimizes web performance metrics to improve user experience and search engine rankings.

Celery Flower Monitoring

Configures and manages Flower for real-time Celery task monitoring, secure authentication, and Prometheus metrics integration.

Redis Monitoring Patterns

Implements comprehensive observability, health checks, and alerting systems for Redis database environments.

Plan Guardian

Monitors development in real-time to detect and prevent deviation from the original project plan.

Observability and Logging for AI

Implements production-grade structured logging, OpenTelemetry tracing, and LLM-specific metrics tracking for AI applications.

Audit Logging for Betty

Records and manages a comprehensive audit trail of skill executions within the Betty framework for monitoring and compliance.

React Observability Patterns

Implements robust logging, error handling, and diagnostic patterns for React and React Native applications.

Analytics Frameworks

Optimizes content and audience growth through data-driven reporting, KPI tracking, and growth experiment frameworks.

Python Performance Optimization

Profiles and optimizes Python code to identify bottlenecks, reduce memory consumption, and improve execution speed using industry-standard tools and patterns.

Grafana Dashboard Manager

Designs and manages production-ready Grafana dashboards for real-time system and application observability.

SRE SLO Implementation Framework

Establishes measurable reliability targets through SLIs, SLOs, and error budgets to balance operational stability with feature velocity.

Prometheus Configuration & Monitoring

Configures Prometheus for comprehensive metric collection, alerting, and infrastructure monitoring.

Distributed Tracing & Observability

Implements end-to-end request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and debug distributed systems.

SLO Implementation & SRE Monitoring

Defines and implements Service Level Indicators and Objectives with error budgets and alerting for site reliability engineering.

MOVA Workflow Cycle Comparison

Deterministically compares IDE and CLI workflow cycles to calculate metrics, assign scores, and identify performance winners.

Grafana Dashboard Architect

Designs and implements production-grade Grafana dashboards for comprehensive system and application observability.

Drizzle Cube Bar Charts

Configures customizable bar and column charts for Drizzle Cube dashboards, supporting stacked, grouped, and horizontal orientations.

Line Chart Configuration

Configures time-series and trend analysis line charts for drizzle-cube dashboards with support for multiple data series.

Area Chart Configuration

Configures professional area charts and stacked time-series visualizations for drizzle-cube dashboards.

KPI Number Dashboard Widgets

Configures single-metric KPI displays for drizzle-cube dashboards with customizable formatting and layout options.

Activity Grid Heatmaps

Configures GitHub-style activity grid heatmaps for Drizzle Cube dashboards to visualize daily contribution patterns and temporal metrics.

Drizzle Cube Treemap Chart Configuration

Configures hierarchical treemap visualizations for Drizzle Cube dashboards to represent complex, nested data structures as proportional rectangles.

Drizzle Cube Queries

Builds and executes semantic analytics queries using measures, dimensions, and advanced temporal filtering.

Financial Models & Revenue Tracking

Provides comprehensive frameworks and templates for tracking revenue, forecasting growth, and managing creator business finances.

Python Performance Optimization

Optimizes Python code for speed and memory efficiency using advanced profiling tools and industry-standard best practices.